app.py

import gradio as gr
import pandas as pd
from shapely.geometry import Point, Polygon

def load_csv(file):
    return pd.read_csv(file.name)

def update_dropdowns(df):
    if df is None or df.empty:
        return gr.Dropdown(choices=[]), gr.Dropdown(choices=[])
    columns = df.columns.tolist()  # Index'i listeye çevir
    return gr.Dropdown(choices=columns), gr.Dropdown(choices=columns)

def create_plot(df, x_col, y_col):
    if df is None or x_col not in df.columns or y_col not in df.columns:
        return None
    return {
        "x": df[x_col].tolist(),
        "y": df[y_col].tolist(),
        "color": "blue",
        "tooltip": df.columns.tolist(),
        "x_title": x_col,
        "y_title": y_col
    }

def filter_points(event: gr.SelectData, df, x_col, y_col):
    if df is None or x_col not in df.columns or y_col not in df.columns:
        return pd.DataFrame()
    
    if not hasattr(filter_points, "points"):
        filter_points.points = []
    
    filter_points.points.append((event.x, event.y))
    
    if len(filter_points.points) < 3:
        return pd.DataFrame()
    
    try:
        polygon = Polygon(filter_points.points)
        mask = df[[x_col, y_col]].apply(
            lambda row: polygon.contains(Point(row[x_col], row[y_col])), 
            axis=1
        )
        return df[mask]
    finally:
        filter_points.points = []

with gr.Blocks() as demo:
    gr.Markdown("## 🎯 Çalışan Son Sürüm")
    
    df_state = gr.State()
    
    with gr.Row():
        csv_upload = gr.File(label="1. CSV Yükle", file_types=[".csv"])
        x_col = gr.Dropdown(label="2. X Sütunu Seç")
        y_col = gr.Dropdown(label="3. Y Sütunu Seç")
    
    plot = gr.ScatterPlot(
        label="4. Lasso Tool ile Alan Seç",
        show_label=True,
        interactive=True
    )
    
    results = gr.DataFrame(label="Seçilen Veriler")
    
    csv_upload.upload(
        load_csv,
        inputs=csv_upload,
        outputs=df_state
    ).then(
        update_dropdowns,
        inputs=df_state,
        outputs=[x_col, y_col]
    )
    
    x_col.change(
        create_plot,
        inputs=[df_state, x_col, y_col],
        outputs=plot
    )
    y_col.change(
        create_plot,
        inputs=[df_state, x_col, y_col],
        outputs=plot
    )
    
    plot.select(
        filter_points,
        inputs=[df_state, x_col, y_col],
        outputs=results
    )

demo.launch()